styledocco
jacobrask.github.io
Results for “Jacob Delafon”
3 tools found
An automatic differentiation (AD) library providing exact and efficient derivatives (gradients, Hessians, Jacobians, directional derivatives, and matrix-free Hessian- and Jacobian-vector products) for machine learning and optimization applications. Operations can be nested to any level, meaning that you can compute exact higher-order derivatives and differentiate functions that are internally making use of differentiation, for applications such as hyperparameter optimization.
diffsharp.github.io
Jacob Bennett and Michael Dyrynda conquer a 14.5 hour time difference to talk about life as web developers.
northmeetssouth.audio